An introductory overview to Boolean searching, using operators and selecting key words. Specific examples of Sparks Group sites we use to effective search and source candidates. Presented by Emily Burnaman, Staff Development Coordinator.
Visit https://www.sparksgroupinc.com for more information.
Our first presentation focusing on the basics of Boolean Searching for the Indian recruitment community. We have covered a few examples of search strings with a combination of Boolean Operators, Modifiers and field commands.
Please Note: Internet keeps changing and so the results displayed in this video may change in future.
Please follow us on Twitter:
@TheSourcePro
@SourcingAdda
You can also join our community:
http://sourcingadda.ning.com/
Boolean Search Fundamentals For Recruiters - GuideProminence
This printable guide was produced to complement the deskside cheat sheets. The guide goes into far more detail on Boolean Logic, including several real life examples.
Our first presentation focusing on the basics of Boolean Searching for the Indian recruitment community. We have covered a few examples of search strings with a combination of Boolean Operators, Modifiers and field commands.
Please Note: Internet keeps changing and so the results displayed in this video may change in future.
Please follow us on Twitter:
@TheSourcePro
@SourcingAdda
You can also join our community:
http://sourcingadda.ning.com/
Boolean Search Fundamentals For Recruiters - GuideProminence
This printable guide was produced to complement the deskside cheat sheets. The guide goes into far more detail on Boolean Logic, including several real life examples.
Introduction to the Boolean/Search Operators recognized by Google search. Introduction to core search/sourcing strategies using Boolean/Search Operators in the browser to source for candidates. Introduction to a sourcing mindset using an analogy. Introduction to the elements of an effective prospecting/sourcing email.
Tech continues to be the most in-demand workers all over the world. In this session, Susanna will cover the best platforms and channels to find tech. She will provide an exhaustive coverage of GitHub. Break, tinker, and extract the best out of GitHub. If you are into finding tech. This is a no-holds barred session on how to find the best tech.
Talent Sourcing & Digital Recruitment (José Kadlec)José Kadlec
Průkopník problematiky tzv. talent sourcingu, první certifikovaný LinkedIn profesionál v CEE, autor knihy People as Merchandise a spoluzakladatel společnosti GoodCall, Datacruit a Recruitment Academy, José Kadlec, odhaluje nejnovější techniky, trendy a nástroje, které by měl znát každý moderní recruiter i sourcer.
Jaké jsou současné a budoucí recruitment trendy v online náboru.
Jaké jsou poslední informace a novinky týkající se tzv. talent sourcingu.
Kde všude vyhledávat kandidáty v online světě.
Jak vyždímat maximum z LinkedIn vyhledávače (LinkedIn People Search).
Jak odkrýt skryté zdroje s relevantními zaměstnanci (tzv. hidden talent pools).
Co je to tzv. Boolean vyhledávání a proč je denní rutinou úspěšných recruiterů.
Definice boolean operátorů, modifikátorů a vyhledávacích příkazů.
Co je to tzv. X-Ray vyhledávání a jak cílit a filtrovat LinkedIn uživatele pomocí internetových vyhledávačů.
Vyhledávání na všech platformách včetně LinkedIn, Facebook, Twitter, Instagram, Vkontakte a dalších.
Vyhledávání na specializovaných platformách jako např. Dribbble, Behance, Bitbucket, Github, StackOverflow, About.me, aj.
Které kontaktní metody jsou pro nábor pracovníků nejefektivnější.
Jak měřit efektivitu kontaktování kandidátů a zlepšování její úspěšnosti.
Jak vytvářet zprávy, které kandidáti nemohou ignorovat.
Pluginy, které vám usnadní a zefektivní denní rutinu talent sourcera nebo recruitera.
http://recruitment.academy
This is the presentation I delivered at the 2012 Dallas SourceCon event on LinkedIn: Beyond the Basics. In this deck you will find content covering hidden talent pools on LinkedIn, effective LinkedIn sourcing strategies and tactics, including company and industry search, semantic search, Boolean search, diversity sourcing, LinkedIn Recruiter features such as "All Groups," and LinkedIn signal.You will also find out why you rank where you do in LinkedIn search results, according to LinkedIn.
Become a Ninja Recruiter: Advanced Boolean Search | Talent Connect London 2014LinkedIn Talent Solutions
Learn from Glen Cathey, author of the Boolean Black Belt blog, to extract maximum value from LinkedIn's massive professional network. Learn human capital data retrieval concepts and best practices, expose hidden talent pools within LinkedIn, and explore the five levels of LinkedIn Talent Mining.
Continue your talent acquisition transformation at Talent Connect 365: http://linkd.in/1z8YEaf
Internet is the valuable source of education to entertainments stuff. To know how to handle internet is a demand of time. This slide show helps you to know how to handle internet especially Google and Google Scholars among with others..........
Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...Koray Tugberk GUBUR
How Search Engines Leverage Opinion-based Articles for Ranking?
Search engines use opinions, and factoids to understand the consensus. News search engines use different reports, and opinions in their search results to satisfy the urgent news information needed by the newsreaders. The news search engines differentiate disinformation from information to protect the newsreaders. Google, Microsoft Bing, Yandex, and DuckDuckGo have different algorithms and prioritization for classifications of the news sources, or prioritization of the news, and newsworthy topics.
Corroboration of the Web Answers from the Open Web is a research paper from Amelia Marian and Minji Wu explaining how a search engine can rank information according to its accuracy.
Google started to explain that the Expertise-Authoriteveness-Trustworthiness is the most important group of signals to be sure that a result won't shame the search engine. Embarrassment factors for the search engines involve wrong information on a news title on the news story, or a wrong featured snippet. A search engine might be shame due to the bad result that is ranking on the SERP.
Dense-retrieval, context scoring, named entity recognition, semantic role labeling, truth ranges, fix points, confidence score, query processing, and parsing.
Context understanding requires processing the text, and tokenizing the words by recognizing the word sense. Processing the text of the news articles requires time. And, most of the time, news search engines do not have enough time for processing the text. Thus, PageRank provides a sustainable timeline for the news sources for rankings.
PageRank is a quick signal for search engines to show the authenticity of the news web source. The highly cited sources are ranked higher, and longer on the top stories. Usually, Google protects the high PageRank sources by trusting the judgment of the websites. But, fact-finding algorithms do not use PageRank mostly, unless they couldn't decide by looking at other factors, or they do not have enough resources to process the text among the hundreds of sources.
News ranking algorithms differentiate opinions, reports, and breaking news from each other. News-related entities, their co-existence, and contextual relations change. Google inventors suggest differentiation of these entities from each other for a proper news categorization.
News categorization is important to match the interested topics of the users in queryless news feeds such as Google Discover. Google Discover is a queryless news feed that serves news stories according to the users' interest areas.
An opinion for news might be misleading. Some news titles might be too harsh, or strict. Search engines use these headlines to differentiate the non-trustworthy news sources from the trustworthy ones. And, opinions of journalists or their different interpretations of the events might change the rankings of a document according to the fact-finding algorithms.
Coronavirus and Future of SEO: Digital Marketing and Remote CultureKoray Tugberk GUBUR
I have attended a great SEO and Digital Marketing webinar with Founder of Stradiji and SEMRush Turkey Lead Mr. Mert Erkal and My Dearest Friend and SEO Consultant Atakan Erdoğan.
Small Note: After I uploaded the presentation, Google launched a new Covid-19 news address like Bing/covid-19. You may want to look at it -> https://www.google.com/covid-19
I have prepared a Presentation about Coronavirus's Effects on Search Engine Optimization (SEO).
You will find Coronavirus's changing effects on Digital Marketing and psychology of global society while using Search Engines.
I also have focused on Search Engine's and Social Media Brands, E-commerce Site's reflexes against Coronavirus Pandemic.
You will see the web sites and categories who earn more traffic and lose traffic. You will also see conversion rate differences because of Coronavirus.
Also, I have told about Search Engine's differences and their attitude against the Coronavirus Pandemic, their future, their updates during the pandemic.
In the last part, you will see some new 2020 Web Technology and Design Trends with AI.
There are also Google Researches for better Search Engine technologies.
Questions:
1- What are the differences between Yandex, Google, Bing, and Duckduckgo for Coronavirus Pandemic?
2- Twitter, Instagram, Amazon or Apple, what are they doing?
3- What do people search most for during the Coronavirus Crisis?
4- What changes from country to country?
5- What are the future technologies of Web and App?
6- How and why do Search Engines improve AI, what is the last events?
7- Which sites loose traffic and which earn more?
8- Lots of quotes from International SEOs about the pandemic.
And more...
I am Koray Tuğberk GÜBÜR and a Holistic SEO Expert.
I sincerely thank you for my Dearest Friend Atakan Erdoğan and Mr. Mert Erkal for this awesome webinar opportunity and experience.
To watch the webinar, please visit Stradiji's Official Youtube Channel.
https://www.youtube.com/watch?v=V4sJTNcRqaM&t=100s
Search Query Processing: The Secret Life of Queries, Parsing, Rewriting & SEOKoray Tugberk GUBUR
Query Processing is the process of query term weight calculation, query augmentation, query context defining, and more. Query understanding and Query clustering are related to Information Retrieval tasks for the search engines. To provide a better search engine optimization effort and project result, the organic search performance optimizers need to implement query processing methodologies. Digital marketing and SEO are connected to each other. Understanding a query includes query parsing, query rewriting, question generation, and answer pairing. Multi-stages Query Processing, Candidate Answer Passages, or Candidate Answer Passages and Answer Term Weighting are some of the concepts from the Google Search Engine to parse the queries.
The presentation of The Secret Life of Queries, Parsing, Rewriting & SEO has been presented at the Brighton SEO Event in April 2022. The event speech focused on explaining the theoretical SEO and practical SEO examples together.
Query Processing methodologies are beyond synonym matching or synonym finding. It involves multiple aspects of the words, and meanings of the words. The theme of words, the centrality of words, attention windows, context windows, and word co-occurrence matrices, GloVe, Word2Vec, word embeddings, character embeddings, and more.
Themes of words contain the word probability like in Continues Bag of Window.
The search engine optimization community focuses on keyword research by matching the queries. Query processing involves query word order change, query word type change, query word combination change, query phrase synonym usage, query question generation, query clustering. Query processing and document processing are correlational. Query processing is to understand a query while document processing is to process a web document. Both of the processes are for ranking algorithms. Providing a better ranking algorithm requires a better query understanding. And providing better rankings as SEOs require better search engine understanding. Thus, understanding the methods of query processing is necessary.
Search Query Processing is implementing the query processing for thesearch engines. Search query refers to the phrase that search engine users use for searching. Search intent understanding and search intent grouping are two different things. But, query templates, questions templates, and document templates work together. Search query is for organic search behaviors. A web search engine answers millions of queries every day. Search query processing is a fundamental task for search engine optimization and search engine result page optimization.
The "Semantic Search Engine: Query Processing" slides from Koray Tuğberk GÜBÜR supported the presentation of "Search Query Processing: The Secret Life of Queries, Parsing, Rewriting & SEO". The presentation has been created by Dear Rebecca Berbel.
Many thanks to the Google engineers that created the Semantic Search Engine patents including Larry Page.
Introduction to the Boolean/Search Operators recognized by Google search. Introduction to core search/sourcing strategies using Boolean/Search Operators in the browser to source for candidates. Introduction to a sourcing mindset using an analogy. Introduction to the elements of an effective prospecting/sourcing email.
Tech continues to be the most in-demand workers all over the world. In this session, Susanna will cover the best platforms and channels to find tech. She will provide an exhaustive coverage of GitHub. Break, tinker, and extract the best out of GitHub. If you are into finding tech. This is a no-holds barred session on how to find the best tech.
Talent Sourcing & Digital Recruitment (José Kadlec)José Kadlec
Průkopník problematiky tzv. talent sourcingu, první certifikovaný LinkedIn profesionál v CEE, autor knihy People as Merchandise a spoluzakladatel společnosti GoodCall, Datacruit a Recruitment Academy, José Kadlec, odhaluje nejnovější techniky, trendy a nástroje, které by měl znát každý moderní recruiter i sourcer.
Jaké jsou současné a budoucí recruitment trendy v online náboru.
Jaké jsou poslední informace a novinky týkající se tzv. talent sourcingu.
Kde všude vyhledávat kandidáty v online světě.
Jak vyždímat maximum z LinkedIn vyhledávače (LinkedIn People Search).
Jak odkrýt skryté zdroje s relevantními zaměstnanci (tzv. hidden talent pools).
Co je to tzv. Boolean vyhledávání a proč je denní rutinou úspěšných recruiterů.
Definice boolean operátorů, modifikátorů a vyhledávacích příkazů.
Co je to tzv. X-Ray vyhledávání a jak cílit a filtrovat LinkedIn uživatele pomocí internetových vyhledávačů.
Vyhledávání na všech platformách včetně LinkedIn, Facebook, Twitter, Instagram, Vkontakte a dalších.
Vyhledávání na specializovaných platformách jako např. Dribbble, Behance, Bitbucket, Github, StackOverflow, About.me, aj.
Které kontaktní metody jsou pro nábor pracovníků nejefektivnější.
Jak měřit efektivitu kontaktování kandidátů a zlepšování její úspěšnosti.
Jak vytvářet zprávy, které kandidáti nemohou ignorovat.
Pluginy, které vám usnadní a zefektivní denní rutinu talent sourcera nebo recruitera.
http://recruitment.academy
This is the presentation I delivered at the 2012 Dallas SourceCon event on LinkedIn: Beyond the Basics. In this deck you will find content covering hidden talent pools on LinkedIn, effective LinkedIn sourcing strategies and tactics, including company and industry search, semantic search, Boolean search, diversity sourcing, LinkedIn Recruiter features such as "All Groups," and LinkedIn signal.You will also find out why you rank where you do in LinkedIn search results, according to LinkedIn.
Become a Ninja Recruiter: Advanced Boolean Search | Talent Connect London 2014LinkedIn Talent Solutions
Learn from Glen Cathey, author of the Boolean Black Belt blog, to extract maximum value from LinkedIn's massive professional network. Learn human capital data retrieval concepts and best practices, expose hidden talent pools within LinkedIn, and explore the five levels of LinkedIn Talent Mining.
Continue your talent acquisition transformation at Talent Connect 365: http://linkd.in/1z8YEaf
Internet is the valuable source of education to entertainments stuff. To know how to handle internet is a demand of time. This slide show helps you to know how to handle internet especially Google and Google Scholars among with others..........
Opinion-based Article Ranking for Information Retrieval Systems: Factoids and...Koray Tugberk GUBUR
How Search Engines Leverage Opinion-based Articles for Ranking?
Search engines use opinions, and factoids to understand the consensus. News search engines use different reports, and opinions in their search results to satisfy the urgent news information needed by the newsreaders. The news search engines differentiate disinformation from information to protect the newsreaders. Google, Microsoft Bing, Yandex, and DuckDuckGo have different algorithms and prioritization for classifications of the news sources, or prioritization of the news, and newsworthy topics.
Corroboration of the Web Answers from the Open Web is a research paper from Amelia Marian and Minji Wu explaining how a search engine can rank information according to its accuracy.
Google started to explain that the Expertise-Authoriteveness-Trustworthiness is the most important group of signals to be sure that a result won't shame the search engine. Embarrassment factors for the search engines involve wrong information on a news title on the news story, or a wrong featured snippet. A search engine might be shame due to the bad result that is ranking on the SERP.
Dense-retrieval, context scoring, named entity recognition, semantic role labeling, truth ranges, fix points, confidence score, query processing, and parsing.
Context understanding requires processing the text, and tokenizing the words by recognizing the word sense. Processing the text of the news articles requires time. And, most of the time, news search engines do not have enough time for processing the text. Thus, PageRank provides a sustainable timeline for the news sources for rankings.
PageRank is a quick signal for search engines to show the authenticity of the news web source. The highly cited sources are ranked higher, and longer on the top stories. Usually, Google protects the high PageRank sources by trusting the judgment of the websites. But, fact-finding algorithms do not use PageRank mostly, unless they couldn't decide by looking at other factors, or they do not have enough resources to process the text among the hundreds of sources.
News ranking algorithms differentiate opinions, reports, and breaking news from each other. News-related entities, their co-existence, and contextual relations change. Google inventors suggest differentiation of these entities from each other for a proper news categorization.
News categorization is important to match the interested topics of the users in queryless news feeds such as Google Discover. Google Discover is a queryless news feed that serves news stories according to the users' interest areas.
An opinion for news might be misleading. Some news titles might be too harsh, or strict. Search engines use these headlines to differentiate the non-trustworthy news sources from the trustworthy ones. And, opinions of journalists or their different interpretations of the events might change the rankings of a document according to the fact-finding algorithms.
Coronavirus and Future of SEO: Digital Marketing and Remote CultureKoray Tugberk GUBUR
I have attended a great SEO and Digital Marketing webinar with Founder of Stradiji and SEMRush Turkey Lead Mr. Mert Erkal and My Dearest Friend and SEO Consultant Atakan Erdoğan.
Small Note: After I uploaded the presentation, Google launched a new Covid-19 news address like Bing/covid-19. You may want to look at it -> https://www.google.com/covid-19
I have prepared a Presentation about Coronavirus's Effects on Search Engine Optimization (SEO).
You will find Coronavirus's changing effects on Digital Marketing and psychology of global society while using Search Engines.
I also have focused on Search Engine's and Social Media Brands, E-commerce Site's reflexes against Coronavirus Pandemic.
You will see the web sites and categories who earn more traffic and lose traffic. You will also see conversion rate differences because of Coronavirus.
Also, I have told about Search Engine's differences and their attitude against the Coronavirus Pandemic, their future, their updates during the pandemic.
In the last part, you will see some new 2020 Web Technology and Design Trends with AI.
There are also Google Researches for better Search Engine technologies.
Questions:
1- What are the differences between Yandex, Google, Bing, and Duckduckgo for Coronavirus Pandemic?
2- Twitter, Instagram, Amazon or Apple, what are they doing?
3- What do people search most for during the Coronavirus Crisis?
4- What changes from country to country?
5- What are the future technologies of Web and App?
6- How and why do Search Engines improve AI, what is the last events?
7- Which sites loose traffic and which earn more?
8- Lots of quotes from International SEOs about the pandemic.
And more...
I am Koray Tuğberk GÜBÜR and a Holistic SEO Expert.
I sincerely thank you for my Dearest Friend Atakan Erdoğan and Mr. Mert Erkal for this awesome webinar opportunity and experience.
To watch the webinar, please visit Stradiji's Official Youtube Channel.
https://www.youtube.com/watch?v=V4sJTNcRqaM&t=100s
Search Query Processing: The Secret Life of Queries, Parsing, Rewriting & SEOKoray Tugberk GUBUR
Query Processing is the process of query term weight calculation, query augmentation, query context defining, and more. Query understanding and Query clustering are related to Information Retrieval tasks for the search engines. To provide a better search engine optimization effort and project result, the organic search performance optimizers need to implement query processing methodologies. Digital marketing and SEO are connected to each other. Understanding a query includes query parsing, query rewriting, question generation, and answer pairing. Multi-stages Query Processing, Candidate Answer Passages, or Candidate Answer Passages and Answer Term Weighting are some of the concepts from the Google Search Engine to parse the queries.
The presentation of The Secret Life of Queries, Parsing, Rewriting & SEO has been presented at the Brighton SEO Event in April 2022. The event speech focused on explaining the theoretical SEO and practical SEO examples together.
Query Processing methodologies are beyond synonym matching or synonym finding. It involves multiple aspects of the words, and meanings of the words. The theme of words, the centrality of words, attention windows, context windows, and word co-occurrence matrices, GloVe, Word2Vec, word embeddings, character embeddings, and more.
Themes of words contain the word probability like in Continues Bag of Window.
The search engine optimization community focuses on keyword research by matching the queries. Query processing involves query word order change, query word type change, query word combination change, query phrase synonym usage, query question generation, query clustering. Query processing and document processing are correlational. Query processing is to understand a query while document processing is to process a web document. Both of the processes are for ranking algorithms. Providing a better ranking algorithm requires a better query understanding. And providing better rankings as SEOs require better search engine understanding. Thus, understanding the methods of query processing is necessary.
Search Query Processing is implementing the query processing for thesearch engines. Search query refers to the phrase that search engine users use for searching. Search intent understanding and search intent grouping are two different things. But, query templates, questions templates, and document templates work together. Search query is for organic search behaviors. A web search engine answers millions of queries every day. Search query processing is a fundamental task for search engine optimization and search engine result page optimization.
The "Semantic Search Engine: Query Processing" slides from Koray Tuğberk GÜBÜR supported the presentation of "Search Query Processing: The Secret Life of Queries, Parsing, Rewriting & SEO". The presentation has been created by Dear Rebecca Berbel.
Many thanks to the Google engineers that created the Semantic Search Engine patents including Larry Page.
15 tips for bullet proof requirements analysis on SharePoint projectsDocFluix, LLC
Success or failure of any significant SharePoint project depends on having well defined business and technical requirements before the project starts. With this presentation, learn concrete, repeatable techniques for ensuring that the requirements for your SharePoint project are well defined.
Operadores de búsqueda de LinkedIN que se pueden utilizar en su búsqueda avan...Apasionados del Marketing
Chuleta de los operadores de búsqueda que se pueden utilizar en la búsqueda avanzada de LinkedIN:
* Uso de comillas para buscar por una frase exacta.
* Uso de paréntesis para combinar búsquedas y hacer búsquedas complejas.
* Operador AND para incluir en la búsqueda solo aquellos resultados que cumplan los dos terminos o frases.
* Operador OR para incluir en la búsqueda dos terminos o frases.
* Operador NOT permite excluir en la búsqueda terminos o frases.
In this project, we try to develop a keyword matching model for companies to hire best fit candidates and for candidates to find jobs.
Certain positions we focus on are: "data analyst", "data scientist" and "data engineer".
At the conclusion of this webinar, you will know:
- What “semantic search” really is – in plain English
- How semantic search compares with Boolean search
- The latest semantic search tools, applications, and websites useful for recruiting
- The best ways to incorporate semantic search into your sourcing efforts
Building apps in QuickBase is fast and easy. However, careful planning is the key to success. In this session, QuickBase Sales Engineer Benjamin Buday will take you on a step-by-step process for diagramming an app's structure and creating an efficient blueprint for success. Whether you're building an app from scratch or customizing a current one, you'll walk away with the tools you need to match your app's structure to your business process and craft an elegant, powerful app.
Presented at SharePoint Saturday Toronto July 9, 2016. I cannot tell you how many recent customers have simply indexed a universe of content with SharePoint Search OOTB (both SP and non-SP) and commented that “Search sucks” and “I can’t find anything relevant”. You will learn everything you need to know at this session to make use of very powerful OOTB configurable search functionality to “light up” your search experience and become the next Search Hero. No previous knowledge of SharePoint Search is assumed.
Govology Webinar: Detailed Preparation of the ICP Part I: General & Job Cost ...Robert E Jones
Government contractors subject to the Allowable Cost and Payment contract clause (FAR 52.216-7) must submit an adequate incurred cost proposal (ICP) within six months after the end of the fiscal year. A completed ICP provides the contractor with their claimed rates which, when approved, become final indirect rates for the period in question. In order to provide an adequate submission to the government, contractors must be knowledgeable of all the components of the incurred cost proposal and have an understanding of the proper treatment of costs to accurately calculate indirect rates. Join us for our two-part webinar where we will provide step-by-step guidance of each schedule and the required and recommended supporting documentation. We'll make sure you know how to properly present adjustments to general ledger amounts and how to document your working papers in preparation for an audit.
Part I in this series will focus on general and job cost ledger related schedules. Part II will dive into other schedules, special issues, and templates.
Aashman Foundation Summer Internship .docxAmanHamza4
The internship opportunity I had with “Aasmaan Foundation” was a great chance for learning and professional development. Therefore, I consider myself a very lucky individual as I was provided with an opportunity to be a part of it. I am also grateful for having a chance to meet so many wonderful people and professionals who led me though this internship period.
I am using this opportunity to express my deepest gratitude and special thanks to “Munish Pundir” “Director “who despite being extraordinarily busy with “her/his” duties, took time out to hear, guide, and keep me on the correct path and allowing me to carry out my internship at their esteemed organization.
I further want to thank Prof. Shikha Gera, who helped me to better understand concepts of professionalism and become a better person and employee in my life.
I would also like to thank my parents and friends who helped me a lot during my life and this internship period. I perceive this opportunity as a big milestone in my career development. I will strive to use gained skills and knowledge in the best possible way, and I will continue to work on their improvement, to attain desired career objectives. Hope to continue cooperation with all of you in the future.
Accelerating AI Integration with Collaborative Learning - Kinga Petrovai - So...SocialHRCamp
Speaker: Kinga Petrovai
You have the new AI tools, but how can you help your team use them to their full potential? As technology is changing daily, it’s hard to learn and keep up with the latest developments. Help your team amplify their learning with a new collaborative learning approach called the Learning Hive.
This session outlines the Learning Hive approach that sets up collaborations that foster great learning without the need for L&D to produce content. The Learning Hive enables effective knowledge sharing where employees learn from each other and apply this learning to their work, all while building stronger community bonds. This approach amplifies the impact of other learning resources and fosters a culture of continuous learning within the organization.
Watch this expert-led webinar to learn effective tactics that high-volume hiring teams can use right now to attract top talent into their pipeline faster.
4. –
• Created and presented by in his first book,
in .
• Boolean is still widely used today as a fundamental logic in digital
computing.
• Most modern programming languages and statistical software use
boolean logic!
Fun Facts!
10. Selecting Key Words
We recommend starting your search by
reading through the entire job description.
Focus on the verbiage,
of the position.
Boolean is creative! Make note of reoccurring
themes, related phrases and other
synonymous terms.
10
11. Putting Key Words Together
We recommend breaking your search down
into segments, specifications, key areas of a
job description.
Segments can be focused around titles,
tasks, traits, skills, degrees, dates, etc.
By separating and adding similar
we can start piecing
together our search string criteria!
11
15. AND
15
• Only returns resumes that absolutely have
these specified words/phrases.
Terms can appear anywhere on the resume.
• Examples for erecruit:
customer service rep*
CSS* HTML* Java*
Javascript* develop*
“secret clear*” (“DOD” OR “department
of defense” OR homeland OR “DHS”)
16. OR
16
• Will return resumes with at least one or
more of the specified words/phrases.
• Examples for erecruit:
plan* polic* program*
procedure* record* law*
(“HR” “H.R.” “human resource*”)
AND (assist* support* intern*)
(“MS Office” “Microsoft Office” “M.S.
Suite” “Microsoft Office Suite”) AND NOT
“MSC”
17. AND NOT
17
• Excludes specific criteria from your search
results.
• Careful not to exclude too much criteria
as it may limit your results.
• Examples for erecruit:
(license* OR certifi* OR degree*)
“financial compliance” (IRB OR
“Institutional Review Board”)
refer* reference*
18. “Quotes”
18
• Will return results only as they appear within
quotations, the exact phrase.
• Examples for erecruit:
Secret Clearance OR Secret Cleared
.net developer
MS Office OR Office Suite
C.S.R. OR CSR OR
Customer Service Rep*
19. (Parenthesis)
19
• When using multiple operators they must be
separated and enclosed.
• Examples for erecruit:
fluen* OR bilingual OR native* AND
Spanish OR Portuguese
develop* OR engineer* OR architect* OR
test* AND automation AND puppet OR
ansible OR chef OR “salt stack”
customer OR client AND service OR “CSR”
20. *Root Word*
20
• Searches all possible variations of term.
Also known as and it works with
numbers too
• Examples for erecruit:
Admin = admin(s), administrator(s),
administrate(s), administrat(ing),
administrative, administer(ing)
“Office Supervis ” OR “Human Resourc ”
( 14 OR *15 OR *16 OR *17 OR current* OR
present*)
21. W/#
21
• Returns resumes with terms within
specified (# of words) proximity of each
other also known as
• Examples for erecruit:
account* ((general* OR specialist
OR manag* OR project*) AND (“A/P” OR
“A.P.” OR payable OR “pay* to”))
(bachelor* OR “B.S.” OR BS) *18
“call center” (*18 or *17 or *16 or
present*)
22. Where do we search?
22
– Search Candidates
– Resume Search
Talent Discovery Platform
– Resume Search
23. ER Resume Searching
23
• This is where
you put your boolean.
Make sure you have only
‘Search Resumes’
selected.
• based on
information in erecruit you
can adjust your results
using erecruit filters. Some
critical ones include:
24. 24
• You can adjust your
search layout to show certain
information available on the
candidate record. Some critical
ones include:
• Notice the terms from the
boolean search are highlighted in
red in the resume preview
25. WP Resume Search
25
• is available
on our
.
• our basic
boolean operators work
here,
• Are
automatically sorted by
relevancy, but more
search options are
available
26. 26
• Notice the terms from the
boolean search are
highlighted in yellow in
the resume.
•
27. CB Resume Search
27
• Needs to be
requested by your manager.
•
Works in two ways, if you
enter more than 10 words it
will use your default
boolean search.
• Divided by ‘My
Candidates’ and
‘CareerBuilder Candidates,’
By using operators/logic to connect your key search criteria, to bring back the most relevant candidates fastest
Why do we use boolean searching?
How large and vast our system is, covering a large variety of candidates across industries, needs, levels of experience. Some are contract work, direct hire, IT, accounting and finance
Jobs are becoming more complex and integrated, higher level roles require more specified experiences, skill and abilities.
Staffing needs change day to day, we need to have pipelines built out and ready to go with our most qualified and ready to go candidates
So what is the best way to combine all of those specifics in a search? Pull back the most accurate people quickly and precisely?
Boolean!
Source: BlackBelt Boolean http://s4587.pcdn.co/wp-content/uploads/2015/12/Yoda-Think-Before-You-Search.jpg
Open Discussion.
Has anyone here used boolean before, what for?
SAS and data searching efforts, searching for scholarly articles, accurate data, know accurate sources of information.
What is Boolean and what is it primarily used for?
What’s the difference between searching and sourcing?
Recruiting? Google Searching?
What are benefits of using boolean?
Boolean logic is over 170 years old!
Design Science - Uses True/False Logic, like computers coding 1 OR 0. IF/THEN.
Used in many software systems today, very relevant.
Sources: https://www.britannica.com/biography/George-Boole
Why do we use boolean searching?
How large and vast our system is, covering a large variety of candidates across industries, needs, levels of experience. Some are contract work, direct hire, IT, accounting and finance
Jobs are becoming more complex and integrated, higher level roles require more specified experiences, skill and abilities.
Staffing needs change day to day, we need to have pipelines built out and ready to go with our most qualified and ready to go candidates
So what is the best way to combine all of those specifics in a search? Pull back the most accurate people quickly and precisely?
By using operators to connect your key search criteria
What kind of information can you put in a boolean search?
i.e. a position’s responsibilities/requirements.
What are some factors that may effect a boolean search?
Available information
Verbiage on resume
Put yourself in the candidate’s shoes. If you were qualified for this job, what words and phrases would you likely use in your resume?
Based on prior similar searches, try and pick up on the use of certain language in different resumes. Are there trends with key words and different levels of experience?
What words OR phrases do you NOT want to see on resumes? Consider what you read in the job description, what the client shared with you about this position, what you know about the client culture/environment and your prior searching experience.
Source: Glossary Tech on Sparks Group Jobs Portal
It doesn’t need to be complicated.
By further sorting verbs and nouns we can start to build out more complex search strings.
Video of Connecting Key Words
Discuss using the operators and connecting key words
Introduction to the main operators, discuss functions
What happens if the words appear more than once?
What happens if you use too many AND terms, too many must haves,
How can you help expand your criteria while still narrowing in on key criteria
What happens if the words appear more than once?
What happens if you use too many AND terms, too many must haves,
How can you help expand your criteria while still narrowing in on key criteria
What happens if the words appear more than once?
What happens if you use too many AND terms, too many must haves,
How can you help expand your criteria while still narrowing in on key criteria
What happens if the words appear more than once?
What happens if you use too many AND terms, too many must haves,
How can you help expand your criteria while still narrowing in on key criteria
What happens if the words appear more than once?
What happens if you use too many AND terms, too many must haves,
How can you help expand your criteria while still narrowing in on key criteria
What happens if the words appear more than once?
What happens if you use too many AND terms, too many must haves,
How can you help expand your criteria while still narrowing in on key criteria
What happens if the words appear more than once?
What happens if you use too many AND terms, too many must haves,
How can you help expand your criteria while still narrowing in on key criteria
Why do we use boolean searching?
How large and vast our system is, covering a large variety of candidates across industries, needs, levels of experience. Some are contract work, direct hire, IT, accounting and finance
Jobs are becoming more complex and integrated, higher level roles require more specified experiences, skill and abilities.
Staffing needs change day to day, we need to have pipelines built out and ready to go with our most qualified and ready to go candidates
However, there are ways to search CareerBuilder through erecruit. You may learn more about this in erecruit training.
Google XRAY Tools to use when searching public social sites like LinkedIn, Facebook, Google+, GitHub
Why do we use boolean searching?
How large and vast our system is, covering a large variety of candidates across industries, needs, levels of experience. Some are contract work, direct hire, IT, accounting and finance
Jobs are becoming more complex and integrated, higher level roles require more specified experiences, skill and abilities.
Staffing needs change day to day, we need to have pipelines built out and ready to go with our most qualified and ready to go candidates
Google XRAY Tools to use when searching public social sites like LinkedIn, Facebook, Google+, GitHub
Why do we use boolean searching?
How large and vast our system is, covering a large variety of candidates across industries, needs, levels of experience. Some are contract work, direct hire, IT, accounting and finance
Jobs are becoming more complex and integrated, higher level roles require more specified experiences, skill and abilities.
Staffing needs change day to day, we need to have pipelines built out and ready to go with our most qualified and ready to go candidates
Google XRAY Tools to use when searching public social sites like LinkedIn, Facebook, Google+, GitHub
Why do we use boolean searching?
How large and vast our system is, covering a large variety of candidates across industries, needs, levels of experience. Some are contract work, direct hire, IT, accounting and finance
Jobs are becoming more complex and integrated, higher level roles require more specified experiences, skill and abilities.
Staffing needs change day to day, we need to have pipelines built out and ready to go with our most qualified and ready to go candidates
Google XRAY Tools to use when searching public social sites like LinkedIn, Facebook, Google+, GitHub
Why do we use boolean searching?
How large and vast our system is, covering a large variety of candidates across industries, needs, levels of experience. Some are contract work, direct hire, IT, accounting and finance
Jobs are becoming more complex and integrated, higher level roles require more specified experiences, skill and abilities.
Staffing needs change day to day, we need to have pipelines built out and ready to go with our most qualified and ready to go candidates
Google XRAY Tools to use when searching public social sites like LinkedIn, Facebook, Google+, GitHub
Why do we use boolean searching?
How large and vast our system is, covering a large variety of candidates across industries, needs, levels of experience. Some are contract work, direct hire, IT, accounting and finance
Jobs are becoming more complex and integrated, higher level roles require more specified experiences, skill and abilities.
Staffing needs change day to day, we need to have pipelines built out and ready to go with our most qualified and ready to go candidates
Google XRAY Tools to use when searching public social sites like LinkedIn, Facebook, Google+, GitHub
Why do we use boolean searching?
How large and vast our system is, covering a large variety of candidates across industries, needs, levels of experience. Some are contract work, direct hire, IT, accounting and finance
Jobs are becoming more complex and integrated, higher level roles require more specified experiences, skill and abilities.
Staffing needs change day to day, we need to have pipelines built out and ready to go with our most qualified and ready to go candidates
Google XRAY Tools to use when searching public social sites like LinkedIn, Facebook, Google+, GitHub
Keep writing boolean!
Why do we use boolean searching?
How large and vast our system is, covering a large variety of candidates across industries, needs, levels of experience. Some are contract work, direct hire, IT, accounting and finance
Jobs are becoming more complex and integrated, higher level roles require more specified experiences, skill and abilities.
Staffing needs change day to day, we need to have pipelines built out and ready to go with our most qualified and ready to go candidates
Google XRAY Tools to use when searching public social sites like LinkedIn, Facebook, Google+, GitHub
https://www.sourcecon.com/the-wonderful-world-of-search-engines/
https://recruitingsocial.com/2018/08/sourcing-passive-candidates/
‘Boolean query syntax’ aka ‘search operators’ searching involves:
Phrase searching
Proximity searching
Field searching
(staff OR employee OR corporate OR recruit*) w/15 ((train* OR teach* OR educat* OR consult* OR support* OR develop*) and (boolean OR “resume search*” OR “sourc* method*”)) AND NOT (engineer OR director)